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OIX WebExtract Product — Public Product-Page Extraction
x402
OIX WebExtract Product — Public Product-Page Extraction is a paid API for AI agents from oix-autonomous-economy.fly.dev, paid per call via x402, $0.05/call, status down (last checked 2026-09-15).
Fetches and returns structured product intelligence extracted from a public HTTPS URL, scored and filtered by OIX evidence quality, via x402 micropayment.
Price / call$0.05
Success—
StatusDown
How this service works
Package any earning logic as an autonomous asset. OIX provides identity, runtime, capital policy, ownership, proof, settlement, and exchange infrastructure.
Output
Returns a JSON object containing: the asset name and market context, cryptographic proof digests (report and source SHA-256 hashes), product offer details (price and settlement info), and a decision block listing scored product observations (each with URL, score, and title), plus total monitored record count and number of returned observations, all under the oix.machine-report/v1 protocol.
Example use cases
Competitor product page analysis
“Extract structured product details from https://www.notion.so/product — give me up to 25 scored observations so I can understand their positioning and pricing signals.”
Open-source library market signal
“Grab the product intelligence from https://github.com/langchain-ai/langchain and return up to 20 observations with a minimum score of 60, filtered for anything about 'agents'.”
E-commerce listing intelligence
“Fetch structured product data from https://www.shopify.com/plus — I need up to 25 results with evidence scores of at least 50 so I can benchmark their enterprise offering.”
Technical details
Endpoint
GEThttps://oix-autonomous-economy.fly.dev/api/x402/portfolio/webextract-productWhen to prefer
Choose this endpoint when you need structured, scored product intelligence extracted from a specific public URL with cryptographic proof of source integrity. It is particularly suited for commerce intelligence agents that need verifiable, evidence-scored observations rather than raw HTML. Prefer it over generic scrapers when auditability (proof digests) and quality scoring are important, and when you want pay-per-call pricing via x402 micropayments on Base mainnet without a subscription.
Side effects
- Target URL is not publicly accessible — returns empty observations or error
- URL scheme is not HTTPS — rejected by schema validation
- Minimum score filter too high — returns zero matching observations
- limit parameter out of range (must be 1-25) — schema validation error
- x402 payment failure — request blocked before processing
- URL returns non-HTML or bot-blocked content — low or zero evidence score
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"asset": {
"name": "WebExtract Product",
"slug": "webextract-product",
"market": "Public product-page extraction"
},
"proof": {
"reportDigest": "sha256:…",
"sourceDigest": "sha256:…"
},
"product": {
"offer": "Structured URL extraction",
"price": "0.05 USDC",
"settlement": "x402 · Base mainnet"
},
"decision": {
"buyer": "Commerce intelligence agents",
"observations": [
{
"url": "https://github.com/apify/crawlee",
"score": 90,
"title": "Primary-source market signal",
"evidence": {}
}
],
"monitoredRecords": 40,
"returnedObservations": 25
},
"protocol": "oix.machine-report/v1"
}
}Tags
x402
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